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Co-Operative Additive Effects between HLA Alleles in Control of HIV-1

Overview of attention for article published in PLOS ONE, October 2012
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users
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1 Google+ user

Citations

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19 Dimensions

Readers on

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41 Mendeley
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1 CiteULike
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Title
Co-Operative Additive Effects between HLA Alleles in Control of HIV-1
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047799
Pubmed ID
Authors

Philippa C. Matthews, Jennifer Listgarten, Jonathan M. Carlson, Rebecca Payne, Kuan-Hsiang Gary Huang, John Frater, Dominique Goedhals, Dewald Steyn, Cloete van Vuuren, Paolo Paioni, Pieter Jooste, Anthony Ogwu, Roger Shapiro, Zenele Mncube, Thumbi Ndung'u, Bruce D. Walker, David Heckerman, Philip J. R. Goulder

Abstract

HLA class I genotype is a major determinant of the outcome of HIV infection, and the impact of certain alleles on HIV disease outcome is well studied. Recent studies have demonstrated that certain HLA class I alleles that are in linkage disequilibrium, such as HLA-A*74 and HLA-B*57, appear to function co-operatively to result in greater immune control of HIV than mediated by either single allele alone. We here investigate the extent to which HLA alleles--irrespective of linkage disequilibrium--function co-operatively.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
United States 1 2%
Portugal 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 32%
Student > Ph. D. Student 10 24%
Student > Master 4 10%
Student > Postgraduate 2 5%
Other 2 5%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 37%
Immunology and Microbiology 7 17%
Social Sciences 3 7%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 4 10%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2012.
All research outputs
#7,417,753
of 22,684,168 outputs
Outputs from PLOS ONE
#88,094
of 193,576 outputs
Outputs of similar age
#57,665
of 176,091 outputs
Outputs of similar age from PLOS ONE
#1,783
of 4,783 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 176,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,783 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.